In this work, the calibration of a commercial, lowcost electroencephalograph (Olimex EEG-SMT) is presented. Several works report about many wearable neural interfaces based on this device. On the contrary, metrological characterization of this electroencephalograph is lacking. The work reports that preliminary calibration results on this device showed good linearity but also a magnitude error around 8%, with a substantial dependence on frequency. This may lead to incorrect interpretations of the harmonic content of the observed braingenerated electrical potentials. Consequently, for applications based on neural activity monitoring, a metrological calibration of the electroencephalograph is important. Moreover, the proposed calibration method can be adapted to other similar devices.

Metrological characterization of a low-cost electroencephalograph for wearable neural interfaces in industry 4.0 applications / Arpaia, Pasquale; Callegaro, Luca; Cultrera, Alessandro; Esposito, Antonio; Ortolano, Massimo. - (2021), pp. 1-5. (Intervento presentato al convegno 2021 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT)) [10.1109/MetroInd4.0IoT51437.2021.9488445].

Metrological characterization of a low-cost electroencephalograph for wearable neural interfaces in industry 4.0 applications

Esposito, Antonio;
2021

Abstract

In this work, the calibration of a commercial, lowcost electroencephalograph (Olimex EEG-SMT) is presented. Several works report about many wearable neural interfaces based on this device. On the contrary, metrological characterization of this electroencephalograph is lacking. The work reports that preliminary calibration results on this device showed good linearity but also a magnitude error around 8%, with a substantial dependence on frequency. This may lead to incorrect interpretations of the harmonic content of the observed braingenerated electrical potentials. Consequently, for applications based on neural activity monitoring, a metrological calibration of the electroencephalograph is important. Moreover, the proposed calibration method can be adapted to other similar devices.
2021
978-1-6654-1980-2
Metrological characterization of a low-cost electroencephalograph for wearable neural interfaces in industry 4.0 applications / Arpaia, Pasquale; Callegaro, Luca; Cultrera, Alessandro; Esposito, Antonio; Ortolano, Massimo. - (2021), pp. 1-5. (Intervento presentato al convegno 2021 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT)) [10.1109/MetroInd4.0IoT51437.2021.9488445].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/942775
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